Abstract
This work shows the early stages of the development of a collaborative-filtering-inspired adaptive system to streamline the ordering process at restaurants that use electronic menu systems. Among other results, the proposed system achieved a reduction of the session duration, while increasing feedback given by restaurant guests.
Original language | English |
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Pages (from-to) | 41-44 |
Number of pages | 4 |
Journal | CEUR Workshop Proceedings |
Volume | 1438 |
State | Published - 2015 |
Event | Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, INTRS 2015 - In conjunction with the 9th ACM Conference on Recommender Systems, RECSYS 2015 - Vienna, Austria Duration: 19 Sep 2015 → … |
Keywords
- Adaptive
- Collaborative-filtering
- Electronic menu
- Recommender systems
- Target variable